PYSEC-0000-CVE-2026-45426

Exploitation requires the attacker to already be an authenticated Airflow worker holding a valid Log-server JWT issued for at least one Dag. Apache Airflow's Log server authorized JWT tokens against Dag IDs by applying Python's str.lstrip to the requested path segment when verifying the JWT's sub...

CVE-2026-45426

CVE-2026-45426 describes an authenticated Airflow worker with a valid Log-server JWT for at least one Dag who can abuse Python str.lstrip() in the JWT sub verification to access logs of other Dags. The left-stripping behavior treats a set of characters as deletable, not a prefix, enabling cross-D...

PT-2026-45375

Name of the Vulnerable Software and Affected Versions Apache Airflow versions prior to 3.2.2 Description The Log server authorizes JWT tokens against Dag IDs by applying the str.lstrip function to the requested path segment when verifying the sub claim. Because str.lstrip removes any character fr...

Apache Airflow: Secrets from Airflow config file logged in plain text in DAG run logs UI

Before Airflow 3.2.0, it was unclear that secure Airflow deployments require the Deployment Manager to take appropriate actions and pay attention to security details and security model of Airflow. Some assumptions the Deployment Manager could make were not clear or explicit enough, even though...

CVE-2025-66236

CVE-2025-66236 concerns Apache Airflow prior to 3.2.0. The OSV/SNYK entries describe that secrets from the Airflow config file could be logged in plain text in the DAG run logs UI, exposing confidential data to users with access to logs (Deployment Manager or privileged readers). Root cause: impr...

PT-2024-9206 · Apache · Apache Airflow

Name of the Vulnerable Software and Affected Versions: Apache Airflow versions before 2.10.3 Description: The issue is related to the exposure of sensitive configuration variables in task logs. This could allow unauthorized users to access critical data, potentially compromising the security of t...

PYSEC-2021-122

If remote logging is not used, the worker in the case of CeleryExecutor or the scheduler in the case of LocalExecutor runs a Flask logging server and is listening on a specific port and also binds on 0.0.0.0 by default. This logging server had no authentication and allows reading log files of DAG...

PYSEC-2021-122

If remote logging is not used, the worker in the case of CeleryExecutor or the scheduler in the case of LocalExecutor runs a Flask logging server and is listening on a specific port and also binds on 0.0.0.0 by default. This logging server had no authentication and allows reading log files of DAG...

PT-2021-21067 · Apache · Apache Airflow

Name of the Vulnerable Software and Affected Versions: Apache Airflow versions prior to 2.1.2 Description: The issue affects the logging server in Apache Airflow, which has no authentication and allows reading log files of DAG jobs when remote logging is not used. This could potentially expose...